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| Photo: Constance Bommelaer de Leusse |
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| Photo: HuffPost |
AI is not new, nor is it magic. It’s about algorithms
“Intelligent”
technology is already everywhere – such as spam filters or systems
used by banks to monitor unusual activity and detect fraud – and it has
been for some time. What is new and creating a lot of interest from
governments stems from recent successes in a subfield of AI known as
“machine learning,” which has spurred the rapid deployment of AI into
new fields and applications. It is the result of a potent mix of data
availability, increased computer power and algorithmic innovation that,
if well harnessed, could double economic growth rates by 2035.
So, governments’ reflection on what good policies should look like in this field is both relevant and timely. It’s also healthy for policymakers to organise a multistakeholder dialogue and empower their citizens to think critically about the future of AI and its impact on their professional and personal lives. In this regard, we welcome the French consultation.
Our recommendations
I had a chance to explain the principles the Internet Society believes should be at the heart of AI norms, whether driven by industry or governments:
So, governments’ reflection on what good policies should look like in this field is both relevant and timely. It’s also healthy for policymakers to organise a multistakeholder dialogue and empower their citizens to think critically about the future of AI and its impact on their professional and personal lives. In this regard, we welcome the French consultation.
Our recommendations
I had a chance to explain the principles the Internet Society believes should be at the heart of AI norms, whether driven by industry or governments:
- Ethical considerations in deployment and design: AI system designers and builders need to apply a user-centric approach to the technology. They need to consider their collective responsibility in building AI systems that will not pose security risks to the Internet and its users.
- Ensure interpretability of AI systems: Decisions made by an AI agent should be possible to understand, especially if they have implications for public safety or result in discriminatory practices.
- Empower users: The public’s ability to understand AI-enabled services, and how they work, is key to ensuring trust in the technology.
- Responsible deployment: The capacity of an AI agent to act autonomously, and to adapt its behaviour over time without human direction, calls for significant safety checks before deployment and ongoing monitoring.
- Ensure accountability: Legal certainty and accountability has to be ensured when human agency is replaced by the decisions of AI agents.
- Consider social and economic impacts: Stakeholders should shape an environment where AI provides socioeconomic opportunities for all.
- Open Governance: The ability of various stakeholders, whether in civil society, government, private sector, academia or the technical community to inform and participate in the governance of AI is crucial for its safe deployment.
You can read more about how these principles translate into tangible recommendations here.
The audition organised by the French government also showed that the debate around AI is currently too narrow. So, we’d like to propose a few additional lenses to stage the debate about the future of AI in a helpful way.
Think holistically, because AI is everywhere
Current dialogues around AI usually focus on applications and services that are visible and interacting with our physical world, such as robots, self-driving cars and voice assistants. However, as our work on the Future of the Internet describes, the algorithms that structure our online experience are everywhere. The future of AI is not just about robots, but also about the algorithms that provide guidance to arrange the overwhelming amount of information from the digital world – algorithms that are intrinsic to the services we use in our everyday lives and a critical driver for the benefits that the Internet can offer.
The same algorithms are also part of systems that collect and structure information that impact how we perceive reality and make decisions in a much subtler and surprising way. They influence what we consume, what we read, our privacy, and how we behave or even vote. In effect, they place AI everywhere.
The audition organised by the French government also showed that the debate around AI is currently too narrow. So, we’d like to propose a few additional lenses to stage the debate about the future of AI in a helpful way.
Think holistically, because AI is everywhere
Current dialogues around AI usually focus on applications and services that are visible and interacting with our physical world, such as robots, self-driving cars and voice assistants. However, as our work on the Future of the Internet describes, the algorithms that structure our online experience are everywhere. The future of AI is not just about robots, but also about the algorithms that provide guidance to arrange the overwhelming amount of information from the digital world – algorithms that are intrinsic to the services we use in our everyday lives and a critical driver for the benefits that the Internet can offer.
The same algorithms are also part of systems that collect and structure information that impact how we perceive reality and make decisions in a much subtler and surprising way. They influence what we consume, what we read, our privacy, and how we behave or even vote. In effect, they place AI everywhere.
